Deep learning to decode sites of RNA translation in normal and cancerous tissues
Ontology highlight
ABSTRACT: The biological process of RNA translation is fundamental to cellular life and has wide-ranging implications for human disease. Yet, accurately delineating the variation in RNA translation represents a significant challenge. Here, we develop RiboTIE, a transformer model-based approach to map global RNA translation. We find that RiboTIE offers unparalleled precision and sensitivity for ribosome profiling data. Application of RiboTIE to normal brain and medulloblastoma cancer samples enables high-resolution insights into disease regulation of RNA translation.
INSTRUMENT(S): Orbitrap Ascend
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Brain, Permanent Cell Line Cell
DISEASE(S): Brain Cancer
SUBMITTER: Jim Clauwaert
LAB HEAD: John Prensner
PROVIDER: PXD055854 | Pride | 2024-12-13
REPOSITORIES: Pride
ACCESS DATA